[Candles / OHLCV / Candlestick] ローソク足（candles / OHLCV / chart data）を取得。1min〜1monthの各時間足に対応。date は tz（既定 Asia/Tokyo）の暦日として解釈し、その終端以前の limit 本を返す。 詳細は inputSchema を参照。 【重要】バックテストには run_backtest を使用（データ取得〜チャート描画を一括実行）。
AI agents call get_candles to retrieve information from Bitbank without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Even though get_candles only reads data, uncontrolled read access leaks sensitive information and racks up API costs — an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
[Candles / OHLCV / Candlestick] ローソク足（candles / OHLCV / chart data）を取得。1min〜1monthの各時間足に対応。date は tz（既定 Asia/Tokyo）の暦日として解釈し、その終端以前の limit 本を返す。 詳細は inputSchema を参照。 【重要】バックテストには run_backtest を使用（データ取得〜チャート描画を一括実行）。. It is categorised as a Read tool in the Bitbank MCP Server, which means it retrieves data without modifying state.
Register the Bitbank MCP server in PolicyLayer and add a rule for get_candles: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Bitbank. Nothing to install.
get_candles is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_candles rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for get_candles. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
get_candles is provided by the Bitbank MCP server (tjackiet/bitbank-lab-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.